{"id":"W6943469076","doi":"10.15468/dl.sb57s9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009889223,0.001924062,0.001629846,0.004998655,0.0009933416,0.002574154,0.002824431,0.002060086,0.1575932],"category_scores_gemma":[0.0059175,0.0009300834,0.001129404,0.01001512,0.0004492043,0.002323706,0.002537428,0.002050118,0.2182757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528414,"about_ca_system_score_gemma":0.002282343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000572,"about_ca_topic_score_gemma":0.03378191,"domain_scores_codex":[0.9989666,0.0001446421,0.0001336701,0.0003640685,0.00022421,0.0001669196],"domain_scores_gemma":[0.9975079,0.0007052465,0.0002410485,0.0006621646,0.0005979324,0.0002857064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002887964,0.00001193548,0.0003900467,0.0005335601,0.00001493212,0.00001520955,0.00002451468,0.000133109,0.0001133636,0.000394025,0.9969996,0.001340878],"study_design_scores_gemma":[0.00007477496,0.000007768838,0.001808987,0.0001799795,0.00001354807,0.00003515461,0.00007637785,0.000143126,0.0001751347,0.0008065255,0.9966607,0.00001790957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004077695,0.00002373294,0.00004266778,0.00003259084,0.0000109466,0.000004882547,0.998956,0.0003156588,0.0005727761],"genre_scores_gemma":[0.0001597953,0.00003114055,0.0001966346,0.00004091794,0.000003329206,0.00004222801,0.9989392,0.0001321571,0.0004545777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424069,"threshold_uncertainty_score":0.5272017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}